Spaces:
Running
Running
Update UI
Browse files
app.py
CHANGED
@@ -1,4 +1,5 @@
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# -*- encoding: utf-8 -*-
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import time
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from pathlib import Path
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@@ -12,7 +13,7 @@ font_dict = {
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'ch': 'FZYTK.TTF',
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'japan': 'japan.ttc',
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'korean': 'korean.ttf',
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'en': 'FZYTK.TTF'
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}
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@@ -64,13 +65,15 @@ def inference(img_path, box_thresh=0.5, unclip_ratio=1.6, text_score=0.5,
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font_path = Path('fonts') / font_dict.get(lan_name)
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img_save_path = visualize(img_path, dt_boxes, rec_res, scores,
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font_path=str(font_path))
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output_text = [f'{one_rec} {float(score):.4f}'
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-
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if __name__ == '__main__':
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-
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examples = [['images/1.jpg'],
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['images/ch_en_num.jpg'],
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['images/air_ticket.jpg'],
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@@ -124,15 +127,15 @@ if __name__ == '__main__':
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with gr.Row():
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input_img = gr.Image(type='filepath', label='Input')
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out_img = gr.Image(type='filepath', label='Output')
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out_log = gr.outputs.Textbox(type='text', label='Run Log')
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out_txt = gr.outputs.Textbox(type='text', label='RecText')
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button = gr.Button('Submit')
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button.click(fn=inference,
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inputs=[input_img, box_thresh, unclip_ratio, text_score,
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text_det, text_rec],
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outputs=[out_img,
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gr.Examples(examples=examples,
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inputs=[input_img, box_thresh, unclip_ratio, text_score,
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text_det, text_rec],
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outputs=[out_img,
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demo.launch(debug=True, enable_queue=True)
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# -*- encoding: utf-8 -*-
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import json
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import time
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from pathlib import Path
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'ch': 'FZYTK.TTF',
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'japan': 'japan.ttc',
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'korean': 'korean.ttf',
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'en': 'FZYTK.TTF',
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}
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font_path = Path('fonts') / font_dict.get(lan_name)
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img_save_path = visualize(img_path, dt_boxes, rec_res, scores,
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font_path=str(font_path))
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# output_text = [f'{one_rec} {float(score):.4f}'
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# for one_rec, score in zip(rec_res, scores)]
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out_dict = {i: {'rec_txt': rec, 'score': score}
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for i, (rec, score) in enumerate(zip(rec_res, scores))}
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out_json = json.dumps(out_dict, ensure_ascii=False)
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return img_save_path, out_json, out_log
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if __name__ == '__main__':
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examples = [['images/1.jpg'],
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['images/ch_en_num.jpg'],
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['images/air_ticket.jpg'],
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with gr.Row():
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input_img = gr.Image(type='filepath', label='Input')
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out_img = gr.Image(type='filepath', label='Output')
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out_json = gr.JSON(label='Rec Res')
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out_log = gr.outputs.Textbox(type='text', label='Run Log')
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button = gr.Button('Submit')
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button.click(fn=inference,
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inputs=[input_img, box_thresh, unclip_ratio, text_score,
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text_det, text_rec],
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outputs=[out_img, out_json, out_log])
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gr.Examples(examples=examples,
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inputs=[input_img, box_thresh, unclip_ratio, text_score,
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text_det, text_rec],
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outputs=[out_img, out_json, out_log], fn=inference)
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demo.launch(debug=True, enable_queue=True)
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